# Fitting a polynomial of degree 10 to data

**URL:** <https://discourse.julialang.org/t/fitting-a-polynomial-of-degree-10-to-data/70924>\
**Category:** General Usage\
**Tags:** data, regression, polynomials\
**Created:** [November 4, 2021, 2:16am UTC](https://discourse.julialang.org/t/fitting-a-polynomial-of-degree-10-to-data/70924 "2021-11-04T02:16:27Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![nilshg](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/nilshg/32/2283_2.png) [@nilshg](https://discourse.julialang.org/u/nilshg)\
**Post date:** [November 4, 2021, 2:11pm UTC](https://discourse.julialang.org/t/fitting-a-polynomial-of-degree-10-to-data/70924/7 "2021-11-04T14:11:22Z")

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Not much point continuing the discussion without OP, but if I understand his post and the linked page correctly, this is a deliberately unstable problem which is used to validate statistical software against some known result. Now of course I don’t know how that known result has been derived and whether it’s in any way better than what R or GLM.jl give, but I think there’s little point arguing with the problem formulation.

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